Stop clicking through dashboards. Deploy AI agents that monitor Polymarket and Kalshi, detect opportunities, execute strategies, and manage risk — while you focus on the thesis.
One natural language command triggers a full research → proposal cycle.
Every feature is designed around the premise that AI agents should do the heavy lifting.
Natural language commands deploy complex strategies. No manual order entry. You're the commander, not the clerk.
30+ atomic tools across Polymarket & Kalshi. search_markets, analyze_market_opportunity, find_arbitrage_opportunity — all callable by your agent.
Real-time semantic matching across platforms. Detect price divergence on the same event before the market corrects.
Aggregate exposure across all running agents. Know your total risk before a position, not after.
Most traders see the same price feed. The real edge lives in the signals that never make it to the dashboard — until now.
monitor_news_feedanalyze_social_signalscore_resolution_riskfind_arbitrage_opportunityEach agent runs independently, but Probity's orchestration layer aggregates their outputs into a single opportunity score — combining news impact, sentiment delta, resolution risk, and cross-platform spread into one actionable signal. You don't monitor 4 agents. You receive one ranked opportunity list, ready to act on.
2025 was the year agents became capable. 2026 is the year they start generating real returns — and prediction markets are the first arena where that's provably true.
GPT-4o and Claude 3.5 now outperform human forecasters on structured prediction tasks. The AIA Forecaster won Metaculus's AI benchmark with a calibrated Brier score of 0.14 — better than 90% of human superforecasters.
$44B in 2025 volume. Kalshi received CFTC approval for event contracts. Polymarket hit 679K monthly active users. The liquidity is now deep enough for systematic strategies to operate without moving the market.
Polymarket's Builder Program launched Q4 2024. The MCP protocol standardized agent tool interfaces in early 2025. The infrastructure exists. The agent tooling layer for prediction markets is still empty. That gap closes fast.